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Use unknown as expected verdicts (#611)
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trunk/examples/programs/quantifier/regression/bpl/AuxVarInCall.bpl
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trunk/examples/programs/regression/bpl/toolDirectives/Overapproximation.bpl
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//#Safe | ||
//#Unknown | ||
// Author: [email protected] | ||
// Date: 2015-08-14 | ||
// | ||
// Test for the overapproximation tool directive that we pass to Ultimate via attributes. | ||
// | ||
// Our wiki says the following. | ||
// If a function func has the attribute {:overapproximation "bar"} our model checkers will never output a counterexample that contains func. Instead our model checkers might say unknown and that an overapproximation of bar is the reason for saying unknown. | ||
// | ||
// In fact, this program is not safe (resp. it is only safe with respect to | ||
// the assumption that the semantics of ~bitwiseAnd is a bitwise complement for | ||
// a two's complement representation of the inputs), but we use this file that | ||
// Ultimate does not output the result UNSAFE. | ||
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// If a function func has the attribute {:overapproximation "bar"} our model checkers will never output a counterexample that contains func. | ||
// Instead our model checkers might say unknown and that an overapproximation of bar is the reason for saying unknown. | ||
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function { :overapproximation "bitwiseAnd" } ~bitwiseAnd(in0 : int, in1 : int) returns (out : int); | ||
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